code: def load_burgundy_wines():
      """Burgundy wines dataset.
  
      Source: https://personal.utdallas.edu/~herve/Abdi-MCA2007-pretty.pdf
  
      """
      wines = pd.DataFrame(
          data=[
              [1, 6, 7, 2, 5, 7, 6, 3, 6, 7],
              [5, 3, 2, 4, 4, 4, 2, 4, 4, 3],
              [6, 1, 1, 5, 2, 1, 1, 7, 1, 1],
              [7, 1, 2, 7, 2, 1, 2, 2, 2, 2],
              [2, 5, 4, 3, 5, 6, 5, 2, 6, 6],
              [3, 4, 4, 3, 5, 4, 5, 1, 7, 5],
          ],
          columns=pd.MultiIndex.from_tuples(
              [
                  ("Expert 1", "Fruity"),
                  ("Expert 1", "Woody"),
                  ("Expert 1", "Coffee"),
                  ("Expert 2", "Red fruit"),
                  ("Expert 2", "Roasted"),
                  ("Expert 2", "Vanillin"),
                  ("Expert 2", "Woody"),
                  ("Expert 3", "Fruity"),
                  ("Expert 3", "Butter"),
                  ("Expert 3", "Woody"),
              ],
              names=("expert", "aspect"),
          ),
          index=[f"Wine {i + 1}" for i in range(6)],
      )
      wines.insert(0, "Oak type", [1, 2, 2, 2, 1, 1])
      return wines
  
file_path: prince/prince/datasets.py
imports: from __future__ import annotations
  import pathlib
  import pandas
label_desc: Use image node_id 6 for calling a global function with example usage: load_burgundy_wines() and returns: wines